Multi-target tracking algorithm using variable sampling rate

An approach using the adaptive sampling interval for a multi-target tracking system is developed in this paper. Via this technique, the tracking system can scan and grasp the target information more effectively. The key development of this approach is that a data association using the global modeling technique and an adaptive procedure algorithm are design for a multi-target tracking system. A comparison of the difference of the general fixed sampling interval and adaptive sampling interval for a tracking system is made in this paper. According to the simulation results, the adaptive sampling interval algorithm proposed in this paper will enhance radar tracking capability and has more accurate performance.